Caitlin Fielder
OCC by UTMB
Caitlin's headline numbers
Caitlin's strategy
Fueling
Carbohydrate is the main fuel you burn when racing. Failing to fuel properly is a leading cause of underperformance in longer races.
For the race, Caitlin targeted a high carb intake well beyond the upper limit of our recommendations of 90g/h, consuming a combination of concentrated energy drinks and gels. Since her average intake for the race was just over ~120g/h, it’s clear that she has undergone extensive gut training in order to be able to tolerate such a high carbohydrate load. It’s likely that her high carb intake throughout the race allowed her to finish so strongly since this strategy will have maintained blood glucose levels sufficiently to support the pace she was running at throughout the race. High fueling (>90g/h carbs) is something we often see in male ultra-runners, and we observed the importance of this first-hand in a male professional ultra-runner at Western States 100 Endurance Run who was able to contest a sprint finish even at the end of such a gruelling event. The success of Caitlin’s fueling strategy highlights the benefits of high-carb intakes, even for smaller female athletes.
Hydration
Taking on board an appropriate amount of fluid and sodium is essential to maintaining blood volume and supporting the cardiovascular effort needed to perform on race day.
Whilst the absolute amount of sodium and fluid consumed per hour is important, it’s critical to consider these in relation to each other. This is known as 'relative sodium concentration' and it’s expressed in milligrams per litre (mg/L). How much sodium you’re taking in per litre of fluid is more important than the absolute amount taken in per hour.
Sweat sodium concentration (mg/L) is largely genetically determined and remains relatively stable. Knowing how salty your sweat is enables you to replace a good proportion of your sweat losses, which can range from 200-2,000mg/L.
Whilst Caitlin’s losses are on the low side, getting her hydration strategy right is still crucial when it’s hot and/or humid as her higher sweat rate in these conditions can result in significant net losses over the duration of a race.
Learn moreCaitlin has previously suffered from severe cramps during some of her races. In an attempt to overcome this, she pre-loads with sodium the day before each event using several bottles containing PH 1500 (Tablets) as well as consuming sodium bicarbonate in the morning before the race. At this event, she also carried two soft flasks, which she could refill with plain water at checkpoints, rivers and troughs on the course. Caitlin hit her in-race sodium intake primarily through the strategic use of salt tablets and another serving of sodium bicarbonate. As a result, Caitlin’s average relative sodium concentration was slightly higher than her sodium losses measured during her Sweat Test. She didn’t note any significant issues related to thirst or hydration status, suggesting that her hydration strategy was sufficient for a race of this intensity and duration.
Caffeine
Beyond the Three Levers of Performance (carb, sodium and fluid), caffeine is one of only a few substances that is proven to improve performance for most endurance athletes as it can help stave off mental and physical fatigue.
Caitlin had pre-planned to use two PF 30 Caffeine Gels as part of her race nutrition strategy. This amount would have brought her in line with the recommended guidelines of 3 to 6mg/kg. Unfortunately, she was only able to find one of the PF 30 Caffeine Gels in her pack during the race, meaning she may not have maximised the ergogenic benefits of caffeine since her intake was below the recommended guidelines. In future, Caitlin could also consider pre-caffeinating using a PF 30 Caffeine Gel just before heading to the start line.
How Caitlin hit her numbers
Here's everything that Caitlin ate and drank on the day...
Caitlin's weapons of choice
Final thoughts
Caitlin's full stats
Data Confidence?
There is some confidence in the quantities and brands of products consumed but the data may lack specifics (e.g. volumes specific flavours). A high number of estimations have been made and the room for error is moderate-high. There may also be the possibility that some intake has been grossly over- or under-estimated.